EyePop.ai MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Analyze Image, Analyze Video, Check Eyepop Status, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect EyePop.ai through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The EyePop.ai app connector for Vercel AI SDK is a standout in the Image Video category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using EyePop.ai, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About EyePop.ai MCP Server
Connect your EyePop.ai account to any AI agent and take full control of your real-time computer vision orchestration and automated visual intelligence through natural conversation.
The Vercel AI SDK gives every EyePop.ai tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Visual Analysis Orchestration — List and manage your entire portfolio of visual models (Pops) programmatically, retrieving detailed detection metadata
- Media Stream Intelligence — Programmatically trigger and monitor real-time media stream processing to maintain a perfectly coordinated visual knowledge pipeline
- Object Detection Architecture Monitoring — Access real-time status updates for detected objects and track confidence scores directly through your agent
- Metadata Management — Programmatically retrieve bounding box coordinates and classification IDs to maintain a perfectly coordinated data record
- Operational Monitoring — Verify account-level API connectivity and monitor visual processing volume directly through your agent for perfectly coordinated service scaling
The EyePop.ai MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 10 EyePop.ai tools available for Vercel AI SDK
When Vercel AI SDK connects to EyePop.ai through Vinkius, your AI agent gets direct access to every tool listed below — spanning computer-vision, object-detection, face-recognition, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Returns detected objects, labels, and bounding boxes. Analyze an image
Returns temporal object detection results. Analyze a video
Verify EyePop API connectivity
Create a visual pipeline
Get account info
Get model details
Get pipeline details
List detections
List available models
List all visual pipelines
Connect EyePop.ai to Vercel AI SDK via MCP
Follow these steps to wire EyePop.ai into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the EyePop.ai MCP Server
Vercel AI SDK provides unique advantages when paired with EyePop.ai through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same EyePop.ai integration everywhere
Built-in streaming UI primitives let you display EyePop.ai tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
EyePop.ai + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the EyePop.ai MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query EyePop.ai in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate EyePop.ai tools and return structured JSON responses to any frontend
Chatbots with tool use: embed EyePop.ai capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with EyePop.ai through natural language queries
Example Prompts for EyePop.ai in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with EyePop.ai immediately.
"List all active Pops in my EyePop.ai account."
"Show the detected objects from 'Main Security Feed' for the last hour."
"Check the processing status for Pop ID 'pop_123'."
Troubleshooting EyePop.ai MCP Server with Vercel AI SDK
Common issues when connecting EyePop.ai to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpEyePop.ai + Vercel AI SDK FAQ
Common questions about integrating EyePop.ai MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.